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<h1> Breiman and Cutler's random forests for classification and
regression
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</div><h2>Documentation for package &lsquo;randomForest&rsquo; version 4.6-7</h2>

<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
<li><a href="../NEWS">Package NEWS</a>.</li>
</ul>

<h2>Help Pages</h2>


<table width="100%">
<tr><td width="25%"><a href="classCenter.html">classCenter</a></td>
<td>Prototypes of groups.</td></tr>
<tr><td width="25%"><a href="combine.html">combine</a></td>
<td>Combine Ensembles of Trees</td></tr>
<tr><td width="25%"><a href="getTree.html">getTree</a></td>
<td>Extract a single tree from a forest.</td></tr>
<tr><td width="25%"><a href="grow.html">grow</a></td>
<td>Add trees to an ensemble</td></tr>
<tr><td width="25%"><a href="grow.html">grow.default</a></td>
<td>Add trees to an ensemble</td></tr>
<tr><td width="25%"><a href="grow.html">grow.randomForest</a></td>
<td>Add trees to an ensemble</td></tr>
<tr><td width="25%"><a href="importance.html">importance</a></td>
<td>Extract variable importance measure</td></tr>
<tr><td width="25%"><a href="importance.html">importance.default</a></td>
<td>Extract variable importance measure</td></tr>
<tr><td width="25%"><a href="importance.html">importance.randomForest</a></td>
<td>Extract variable importance measure</td></tr>
<tr><td width="25%"><a href="imports85.html">imports85</a></td>
<td>The Automobile Data</td></tr>
<tr><td width="25%"><a href="margin.html">margin</a></td>
<td>Margins of randomForest Classifier</td></tr>
<tr><td width="25%"><a href="margin.html">margin.default</a></td>
<td>Margins of randomForest Classifier</td></tr>
<tr><td width="25%"><a href="margin.html">margin.randomForest</a></td>
<td>Margins of randomForest Classifier</td></tr>
<tr><td width="25%"><a href="MDSplot.html">MDSplot</a></td>
<td>Multi-dimensional Scaling Plot of Proximity matrix from randomForest</td></tr>
<tr><td width="25%"><a href="na.roughfix.html">na.roughfix</a></td>
<td>Rough Imputation of Missing Values</td></tr>
<tr><td width="25%"><a href="na.roughfix.html">na.roughfix.data.frame</a></td>
<td>Rough Imputation of Missing Values</td></tr>
<tr><td width="25%"><a href="na.roughfix.html">na.roughfix.default</a></td>
<td>Rough Imputation of Missing Values</td></tr>
<tr><td width="25%"><a href="outlier.html">outlier</a></td>
<td>Compute outlying measures</td></tr>
<tr><td width="25%"><a href="outlier.html">outlier.default</a></td>
<td>Compute outlying measures</td></tr>
<tr><td width="25%"><a href="outlier.html">outlier.randomForest</a></td>
<td>Compute outlying measures</td></tr>
<tr><td width="25%"><a href="partialPlot.html">partialPlot</a></td>
<td>Partial dependence plot</td></tr>
<tr><td width="25%"><a href="partialPlot.html">partialPlot.default</a></td>
<td>Partial dependence plot</td></tr>
<tr><td width="25%"><a href="partialPlot.html">partialPlot.randomForest</a></td>
<td>Partial dependence plot</td></tr>
<tr><td width="25%"><a href="margin.html">plot.margin</a></td>
<td>Margins of randomForest Classifier</td></tr>
<tr><td width="25%"><a href="plot.randomForest.html">plot.randomForest</a></td>
<td>Plot method for randomForest objects</td></tr>
<tr><td width="25%"><a href="predict.randomForest.html">predict.randomForest</a></td>
<td>predict method for random forest objects</td></tr>
<tr><td width="25%"><a href="randomForest.html">print.randomForest</a></td>
<td>Classification and Regression with Random Forest</td></tr>
<tr><td width="25%"><a href="randomForest.html">randomForest</a></td>
<td>Classification and Regression with Random Forest</td></tr>
<tr><td width="25%"><a href="randomForest.html">randomForest.default</a></td>
<td>Classification and Regression with Random Forest</td></tr>
<tr><td width="25%"><a href="randomForest.html">randomForest.formula</a></td>
<td>Classification and Regression with Random Forest</td></tr>
<tr><td width="25%"><a href="rfcv.html">rfcv</a></td>
<td>Random Forest Cross-Valdidation for feature selection</td></tr>
<tr><td width="25%"><a href="rfImpute.html">rfImpute</a></td>
<td>Missing Value Imputations by randomForest</td></tr>
<tr><td width="25%"><a href="rfImpute.html">rfImpute.default</a></td>
<td>Missing Value Imputations by randomForest</td></tr>
<tr><td width="25%"><a href="rfImpute.html">rfImpute.formula</a></td>
<td>Missing Value Imputations by randomForest</td></tr>
<tr><td width="25%"><a href="rfNews.html">rfNews</a></td>
<td>Show the NEWS file</td></tr>
<tr><td width="25%"><a href="treesize.html">treesize</a></td>
<td>Size of trees in an ensemble</td></tr>
<tr><td width="25%"><a href="tuneRF.html">tuneRF</a></td>
<td>Tune randomForest for the optimal mtry parameter</td></tr>
<tr><td width="25%"><a href="varImpPlot.html">varImpPlot</a></td>
<td>Variable Importance Plot</td></tr>
<tr><td width="25%"><a href="varUsed.html">varUsed</a></td>
<td>Variables used in a random forest</td></tr>
</table>
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